Evidence map›Paper›PMID 36294071›Full record

ArticleInternational journal of environmental research and public health2022

Impacts of the COVID-19 Pandemic upon Chinese Positive Traits.

Liang Zhao, Yukun Zhao, Yiwen Wu, Xiaojun Ding, Feng Yu, Kaiping Peng

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Liang ZhaoSchool of Information Management, Wuhan University, Wuhan 430072, China.
Yukun ZhaoPositive Psychology Research Center, Tsinghua University, Beijing 100084, China.
Yiwen WuPositive Psychology Research Center, Tsinghua University, Beijing 100084, China.
Xiaojun DingDepartment of Philosophy, School of Humanities and Social Science, Xi'an Jiaotong University, Xi'an 710049, China.
Feng YuDepartment of Psychology, School of Philosophy, Wuhan University, Wuhan 430072, China.
Kaiping PengDepartment of Psychology, School of Social Sciences, Tsinghua University, Beijing 100084, China.
Tsinghua University · CNWuhan University · CNXi'an Jiaotong University · CN

Funding

National Science Foundation of China 62007027
6 · The paper itself

Abstract

Will Chinese people change in terms of their character strengths when disasters strike? As far as the most recent COVID-19 pandemic is concerned, we provide an explorative answer from the impacts of positive traits included in the Values in Action Classification of Strengths upon Chinese people. We conducted a large-scale online survey from 1 January 2019 to 13 February 2020, with 12,878 respondents nationwide, covering all the administrative regions in China and all age intervals. The changes in the 24 character strengths before and during the pandemic were compared. Results revealed a significant increase in teamwork triggered by the pandemic among Chinese people. Fine-grained differences in demographic variables were also examined. Results showed that the COVID-19 pandemic significantly boosted teamwork for both males and females. Concerning age differences, only younger adults (18-25-year-old) showed a significant increase in teamwork. Besides this, it was also discovered that females always performed a higher teamwork tendency than males, and the elderly higher than the younger, regardless of the pandemic.

Indexed as

COVID-19PandemicsAdolescentAdultAgedAsian PeopleChinaFemaleHumansMaleSurveys and QuestionnairesYoung Adultcharacter strengthscollectivistic cultureCOVID-19 pandemicdisasterpositive traits

Identifiers

PMID36294071
PMCPMC9603803
OpenAlexW4306741867

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.